Results 101 to 110 of about 7,558 (300)
Conditioning an additive functional of a markov chain to stay non-negative. I, Survival for a long time [PDF]
, 2005 Let (X-t)(t >= 0) be a continuous-time irreducible Markov chain on a finite state space E, let v be a map v: E -> R \ {0}, and let (phi(t))(t >= 0) be an additive functional defined by phi(t) = integral(0)(t)(X-s) ds.
Warren, Jon +2 more
core +1 more source
A new smooth failure criterion for concrete inspired by Lubliner's condition
Structural Concrete, EarlyView.Abstract A new failure criterion with 10 parameters is proposed, based on Lubliner's idea of joining two Drucker–Prager cones. The novelty lies in the way of introducing deviatoric shape variation: through two Podgórski's functions. This feature allows for improving plane stress cross‐section's compatibility with experimental data.
Inez Kamińska, Aleksander Szwed
wiley +1 more source
VIEW, EarlyView.In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou +10 more
wiley +1 more source
A Note on the Drazin Indices of Square Matrices
The Scientific World Journal, 2014 For a square matrix A, the smallest nonnegative integer k such that rank (Ak) = rank (Ak+1) is called the Drazin index of A. In this paper, we give some results on the Drazin indices of sum and product of square matrices.
Lijun Yu, Tianyi Bu, Jiang Zhou
doaj +1 more source
Reactor Criticality and Nonnegative Matrices
Journal of the Society for Industrial and Applied Mathematics, 1958 The Perron-Frobenius theory of nonnegative matrices is applied to provide a mathematical basis for the physical concept of criticality and for typical computational interpretations of this concept. (W. L. H.)
Birkhoff, Garrett, Varga, Richard S.
openaire +3 more sources
Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion
Artificial Intelligence for Engineering, EarlyView.Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley +1 more source
Transient dynamics and nonlinear fitness: A matrix approach to pulse and press perturbation. [PDF]
EcologyAbstract Disturbances can occur as short‐lived pulses (e.g., storms) or sustained presses (e.g., chronic drought). Much work in ecology has developed methods to help predict how natural populations respond to disturbances, but analyses of pulse and press disturbances have been largely disconnected.
Jaggi H +5 more
europepmc +2 more sources
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Convergence of infinite products of matrices and inner-outer iteration schemes
, 1994 Elsner L, Bru R, Neumann MM. Convergence of infinite products of matrices and inner-outer iteration schemes. Electronic Transactions on Numerical Analysis.
Elsner, Ludwig +5 more
core
Totally nonnegative moment matrices
, 1994 The finite dimensional moment matrices of distributions which are either concentrated on the nonnegative half line or symmetric around zero are similar to totally nonnegative matrices.
Berthold Heiligers, Heiligers, Berthold
core +1 more source